Overview
Nanonets is an AI-powered platform that automates image recognition and document data extraction, helping businesses streamline workflows. It offers scalable solutions for real-time detection, classification, and OCR tasks. While it requires some customization for specific needs, Nanonets simplifies AI integration, improving operational efficiency and reducing manual processing.
Nanonets Specifications
Visual Recognition
Automation
Predictive Capabilities
Defect Detection Using Image Analysis
What Is Nanonets?
Nanonets is an AI-driven platform that automates object detection, image recognition, and data extraction tasks, offering scalable solutions for industries like manufacturing, shipping, and retail, allowing users to streamline visual data processing. Nanonets improves workflow automation and operational efficiency by providing real-time detection, customized models, and ease of integration. Nanonets provides flexibility and reliability, and it is an excellent solution for businesses looking to enhance image recognition processes and increase productivity.
Nanonets Pricing
There are three Nanonets pricing plans available:
- Pay-as-you-go: Start for free with $200 in credits
- Credits Accelerate: Volume-based pricing
- Enterprise: Custom pricing
Disclaimer: The pricing is subject to change.
Nanonets Integrations
Nanonets supports integration with multiple platforms and services, such as:
- Google Drive
- Dropbox
- Microsoft SharePoint
- Zapier
- Notion Software
- Quickbooks
- Salesforce
Who Is Nanonets For?
Nanonets serves a wide range of industries, including
- Banking & Finance
- Healthcare
- Insurance
- Commercial Real Estate
- Logistics
Is Nanonets Right For You?
Nanonets is a great fit for businesses looking to automate image recognition and document processing. Its AI-powered object detection is particularly beneficial for industries like healthcare, banking, and logistics. By streamlining workflows and improving accuracy, Nanonets helps businesses save time and reduce manual tasks. With flexible solutions that adapt to different industry needs, Nanonets provides reliable automation that can help your business stay secure, compliant, and efficient
Still unsure about Nanonets? Contact us at (661) 384-7070 for further guidance.
Nanonets Features
Nanonets automatically identifies and extracts critical data from various types of documents like invoices, receipts, and contracts. The AI eliminates the need for manual data entry, significantly speeding up document processing. It ensures high accuracy by reducing human errors, streamlining workflows, and allowing businesses to save time and reduce costs.
Nanonets categorizes documents based on their content, such as distinguishing between invoices, receipts, and purchase orders. It automatically organizes documents into predefined categories, making them easy to retrieve when needed. This feature reduces clutter, minimizes misfiling, and helps businesses efficiently manage large volumes of documents.
Nanonets scans documents to accurately detect checkboxes and barcodes. It automatically fills out checkboxes and extracts information from barcodes, which is especially helpful for forms and invoices. This feature enhances the document processing workflow by reducing the need for manual input and improving overall efficiency.
The Signature Detection feature of Nanonets software verifies signatures within documents to ensure authenticity and compliance. It automatically identifies and checks the validity of signatures, ensuring that all necessary documents are correctly signed. This feature helps businesses maintain compliance with legal and regulatory requirements, safeguarding against errors in contract management.
Nanonets software offers an Analytics feature that provides businesses with detailed reports on the performance of their data extraction processes. It tracks key metrics such as extraction speed, accuracy, and volume. These insights enable businesses to identify areas where they can optimize document processing workflows for improved efficiency and reduced errors.